18 citations · 26 across the 5 of their papers we have counts for
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cs.AI2024★ 2 cited
"My Grade is Wrong!": A Contestable AI Framework for Interactive Feedback in Evaluating Student Essays
Shengxin Hong, Chang Cai, Sixuan Du +3
Interactive feedback, where feedback flows in both directions between teacher and student, is more effective than traditional one-way feedback. However, it is often too time-consum…
cs.AI2021★ 18 cited
Evaluating the Correctness of Explainable AI Algorithms for Classification
Orcun Yalcin, Xiuyi Fan, Siyuan Liu
Explainable AI has attracted much research attention in recent years with feature attribution algorithms, which compute "feature importance" in predictions, becoming increasingly p…
cs.AI2020★ 1 cited
Explainable AI for Classification using Probabilistic Logic Inference
Xiuyi Fan, Siyuan Liu, Thomas C. Henderson
The overarching goal of Explainable AI is to develop systems that not only exhibit intelligent behaviours, but also are able to explain their rationale and reveal insights. In expl…